The data format of all deep-learning based algorithm is the same: a subset of important daily features in the most recent traditional depression detection algorithms [1]}, [2]}, with the past-four-week feature matrix as the input.

It is worth noting that we picked these deep learning techniques to cover the major approaches of domain generalization [3]}, including 1) data manipulation (Mixup), 2) representation learning (IRM, DANN, CSD), and 3) learning strategy (MLDG, MASF, Siamese, Reorder).

